Overview
Role involves designing and maintaining ETL pipelines and collaborating on data integration strategies.
Ideal candidate has 7+ years of experience in data engineering with strong skills in Python and AWS Glue.
remoteseniorpermanentfull-timeEnglishPythonSparkSQLETLmachine learning
Locations
Requirements
Bachelor's degree or equivalent experience 7+ years of experience as a Data Engineer Professional experience with Spark and AWS pipeline development required
Responsibilities
Design and maintain ETL pipelines Collaborate on data requirements Implement data transformation logic Utilize AWS Glue for ETL jobs Apply data matching methodologies Implement data governance practices